Faculty Directory
Dr. Susovan Jana
Academic Information
Ph.D. (Engineering), Jadavpur University, 2022
Research Areas
Research Interests
My research centers on intelligent computing and data-driven solutions, particularly in image processing, computer vision, machine learning, and IoT, with strong applications in agriculture, healthcare, and multimedia systems. I have developed frameworks for object recognition, quality evaluation, and volume estimation using advanced feature analysis and contributed to automated detection and classification in fruit/vegetable analysis, medical imaging, and smart monitoring systems. My work also spans AI-enhanced pattern recognition, deep learning applications, and IoT-based sensing and surveillance, showcased through journal articles, book chapters, and numerous conference contributions. I am committed to interdisciplinary research and real-world impact.
Courses Taught
Image Processing, Internet of Things, Software Engineering, Advanced Programming (OOP)-JAVA, IT Workshop (MATLAB), Artificial Intelligence & Machine Learning, Human Computer Interaction, Computer Graphics
Positions Held
Associate Professor & Programme In-Charge, Department of Computer Science & Engineering (IoT), Institute of Engineering & Management, Kolkata (2024-Present)
Assistant Professor, Department of Computer Science & Engineering (IoT), Institute of Engineering & Management, Kolkata (2021 - 2024)
Research Fellow, Jadavpur University (2016 - 2021)
Application Developer, IBM India Pvt. Ltd. (2014 - 2016)
Assistant Professor, Department of Computer Science & Engineering (IoT), Institute of Engineering & Management, Kolkata (2021 - 2024)
Research Fellow, Jadavpur University (2016 - 2021)
Application Developer, IBM India Pvt. Ltd. (2014 - 2016)
Publications
S. Jana, B. Sarkar, R. Parekh, and S. Nath, “AN INTEGRATED FRAMEWORK FOR QUALITY EVALUATION OF FRUITS AND VEGETABLE STORE LOCATED IN THE SUPERMARKET UNDER UTOPIAN ENVIRONMENT,” International Journal of Industrial Engineering: Theory, Application and Practice, vol. 30, no. 1, 2023.
D. Tamili, S. Jana, and P. Bhattacharjee, “Chromatographic method development for simultaneous determination of serotonin, melatonin, and L-tryptophan: Mass transfer modeling, chromatographic separation factors, and method prediction by artificial neural network,” Journal of Chemometrics, 2023;e3520.
S. Jana, B. Sarkar, and R. Parekh, “An Integrated Framework for the Performance Evaluation of Fruits and Vegetable Store Located in a Supermarket,” Trends in Sciences, vol. 19, no. 3, pp. 2073, 2022.
S. Jana, R. Parekh, and B. Sarkar, “A De novo approach for automatic volume and mass estimation of fruits and vegetables,” Optik, vol. 200, p. 163443, Jan. 2020.
S. Jana, R. Parekh, and B. Sarkar, “Detection of Rotten Fruits and Vegetables using Deep Learning,” Computer Vision and Machine Learning in Agriculture, Algorithms for Intelligent Systems, Springer, Singapore, pp. 31-49, 2021.
S. Jana, R. Parekh, and B. Sarkar, “A semi-supervised approach for automatic detection and segmentation of optic disc from retinal fundus image,” Handbook of Computational Intelligence in Biomedical Engineering and Healthcare, Academic Press, pp. 65-91, 2021.
S. Jana, R. Parekh, and B. Sarkar, “Automatic Classification of Fruits and Vegetables: A Texture-Based Approach,” Algorithms in Machine Learning Paradigms, Studies in Computational Intelligence, Springer, Singapore, vol. 870, pp. 71–89, 2020.
S. Jana, S. Basak, and R. Parekh, “Automatic fruit recognition from natural images using color and texture features,” 2017 Devices for Integrated Circuit (DevIC), pp. 620-624, IEEE, Mar. 2017.
S. Jana and R. Parekh, “Shape-based Fruit Recognition and Classification,” *Computational Intelligence, Communications, and Business Analytics*, Springer, pp. 184–196, 2017.
U. R. Chowdhury, S. Jana, and R. Parekh, “Automated System for Indian Banknote Recognition using Image Processing and Deep Learning,” 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), pp. 1-5, IEEE, Mar. 2020.